Modeling of photovoltaic soiling loss as a function of environmental variables
<p>In this study, an artificial neural network (ANN) approach was applied for modeling the relation between environmental variables and daily change in the Cleanness Index (ΔCI, a measure of performance loss due to soiling) of photovoltaic modules in the field in Doha, Qatar. The daily ΔCI was...
محفوظ في:
| المؤلف الرئيسي: | Wasim Javed (6105866) (author) |
|---|---|
| مؤلفون آخرون: | Bing Guo (25387) (author), Benjamin Figgis (18427935) (author) |
| منشور في: |
2017
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
A novel stochastic dynamic modeling for photovoltaic systems considering dust and cleaning
حسب: Cheema, Armaghan
منشور في: (2021) -
Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
حسب: Amith Khandakar (14151981)
منشور في: (2019) -
Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
حسب: Shapsough, Salsabeel Yousef
منشور في: (2019) -
Estimating the Transformer Health Index Using Artificial Intelligence Techniques
حسب: Al Qudsi, Alhaytham Y.
منشور في: (2016) -
A study of PV soiling loss and angle of incidence in outdoor conditions
حسب: Bing Guo (25387)
منشور في: (2025)